Rubber hose surface defect detection system based on machine vision Article Swipe

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Fanwu Meng , Jingrui Ren , Qi Wang , Teng Zhang ·

YOU? · · 2018 · Open Access · · DOI: https://doi.org/10.1088/1755-1315/108/2/022057

As an important part of connecting engine, air filter, engine, cooling system and automobile air-conditioning system, automotive hose is widely used in automobile. Therefore, the determination of the surface quality of the hose is particularly important. This research is based on machine vision technology, using HALCON algorithm for the processing of the hose image, and identifying the surface defects of the hose. In order to improve the detection accuracy of visual system, this paper proposes a method to classify the defects to reduce misjudegment. The experimental results show that the method can detect surface defects accurately.

Related Topics

Automotive Industry

Machine Vision

Automotive Engineering

Computer Vision

Computer Science

Natural Rubber

Artificial Intelligence

Aerospace Engineering

Concepts

Automotive industry Machine vision Surface (topology) Automotive engineering Computer vision Computer science Natural rubber Automotive engine Road surface Artificial intelligence Image processing Engineering Image (mathematics) Materials science Mathematics Composite material Civil engineering Geometry Aerospace engineering

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Type: article
Language: en
Landing Page: https://doi.org/10.1088/1755-1315/108/2/022057
PDF: https://iopscience.iop.org/article/10.1088/1755-1315/108/2/022057/pdf
OA Status: diamond
Cited By: 10
References: 11
Related Works: 10
OpenAlex ID: https://openalex.org/W2789460002

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OpenAlex ID: https://openalex.org/W2789460002

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DOI: https://doi.org/10.1088/1755-1315/108/2/022057

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Title: Rubber hose surface defect detection system based on machine vision

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Type: article

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Language: en

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Publication year: 2018

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Publication date: 2018-01-01

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Authors: Fanwu Meng, Jingrui Ren, Qi Wang, Teng Zhang

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Landing page: https://doi.org/10.1088/1755-1315/108/2/022057

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PDF URL: https://iopscience.iop.org/article/10.1088/1755-1315/108/2/022057/pdf

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OA URL: https://iopscience.iop.org/article/10.1088/1755-1315/108/2/022057/pdf

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Concepts: Automotive industry, Machine vision, Surface (topology), Automotive engineering, Computer vision, Computer science, Natural rubber, Automotive engine, Road surface, Artificial intelligence, Image processing, Engineering, Image (mathematics), Materials science, Mathematics, Composite material, Civil engineering, Geometry, Aerospace engineering

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Cited by: 10

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Citations by year (recent): 2024: 2, 2023: 1, 2021: 4, 2020: 2, 2019: 1

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References (count): 11

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Related works (count): 10

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abstract_inverted_index.detect	92
abstract_inverted_index.image,	53
abstract_inverted_index.method	76, 90
abstract_inverted_index.reduce	82
abstract_inverted_index.system	11
abstract_inverted_index.vision	42
abstract_inverted_index.visual	70
abstract_inverted_index.widely	19
abstract_inverted_index.cooling	10
abstract_inverted_index.defects	58, 80, 94
abstract_inverted_index.engine,	6, 9
abstract_inverted_index.filter,	8
abstract_inverted_index.improve	65
abstract_inverted_index.machine	41
abstract_inverted_index.quality	29
abstract_inverted_index.results	86
abstract_inverted_index.surface	28, 57, 93
abstract_inverted_index.system,	15, 71
abstract_inverted_index.accuracy	68
abstract_inverted_index.classify	78
abstract_inverted_index.proposes	74
abstract_inverted_index.research	37
abstract_inverted_index.algorithm	46
abstract_inverted_index.detection	67
abstract_inverted_index.important	2
abstract_inverted_index.Therefore,	23
abstract_inverted_index.automobile	13
abstract_inverted_index.automotive	16
abstract_inverted_index.connecting	5
abstract_inverted_index.important.	35
abstract_inverted_index.processing	49
abstract_inverted_index.accurately.	95
abstract_inverted_index.automobile.	22
abstract_inverted_index.identifying	55
abstract_inverted_index.technology,	43
abstract_inverted_index.experimental	85
abstract_inverted_index.particularly	34
abstract_inverted_index.determination	25
abstract_inverted_index.misjudegment.	83
abstract_inverted_index.air-conditioning	14
cited_by_percentile_year.max	97
cited_by_percentile_year.min	89
corresponding_author_ids	https://openalex.org/A5112301316
countries_distinct_count	1
institutions_distinct_count	4
corresponding_institution_ids	https://openalex.org/I125839683
sustainable_development_goals[0].id	https://metadata.un.org/sdg/7
sustainable_development_goals[0].score	0.7300000190734863
sustainable_development_goals[0].display_name	Affordable and clean energy
citation_normalized_percentile.value	0.9217033
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True